Name
Affiliation
Papers
MYKOLA PECHENIZKIY
Dept. of Comput. Sci. & Inf. Syst., Univ. of Jyvaskyla
30
Collaborators
Citations 
PageRank 
66
96
13.73
Referers 
Referees 
References 
277
573
219
Search Limit
100573
Title
Citations
PageRank
Year
ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks00.342022
Recurring Concept Memory Management In Data Streams: Exploiting Data Stream Concept Evolution To Improve Performance And Transparency00.342021
Analyzing and Repairing Concept Drift Adaptation in Data Stream Classification00.342021
Self-Attention Meta-Learner for Continual Learning00.342021
The banking transactions dataset and its comparative analysis with scale-free networks00.342021
Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information10.362021
Selfish Sparse Rnn Training00.342021
Evolving Plasticity For Autonomous Learning Under Changing Environmental Conditions00.342021
calibrated adversarial training.00.342021
On Generalization of Graph Autoencoders with Adversarial Training00.342021
SpaceNet: Make Free Space for Continual Learning10.372021
Feedback Loop and Bias Amplification in Recommender Systems40.412020
Controlling the Accuracy and Uncertainty Trade-off in RUL Prediction with a Surrogate Wiener Propagation Model00.342020
struc2gauss: Structural role preserving network embedding via Gaussian embedding.20.352020
Exceptional spatio-temporal behavior mining through Bayesian non-parametric modeling00.342020
Learning with delayed synaptic plasticity20.462019
Sparse Evolutionary Deep Learning With Over One Million Artificial Neurons On Commodity Hardware00.342019
Limited Evaluation Cooperative Co-evolutionary Differential Evolution for Large-scale Neuroevolution.30.392018
Twitter rumour detection in the health domain.60.642018
Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data.40.382018
Tink: A Temporal Graph Analytics Library for Apache Flink.20.352018
Health-Related Rumour Detection On Twitter00.342017
Have It Both Ways - From A/B Testing to A&B Testing with Exceptional Model Mining.00.342017
A comparative study of dimensionality reduction techniques to enhance trace clustering performances190.972013
Handling concept drift in medical applications: Importance, challenges and solutions00.342010
Heart failure hospitalization prediction in remote patient management systems30.582010
Handling outliers and concept drift in online mass flow prediction in CFB boilers70.672009
Using minimum description length for process mining261.442009
Online mass flow prediction in CFB boilers with explicit detection of sudden concept drift120.832009
Local dimensionality reduction and supervised learning within natural clusters for biomedical data analysis.40.442006